Multi-Agent Explainable Federated Learning for Adaptive Resource Optimization in Intelligent Edge Computing Environments
The rapid proliferation of Internet of Things (IoT) devices has shifted computation toward the network edge, where resource-constrained nodes must make fast, adaptive scheduling decisions under strict latency, energy, and privacy constraints. Existing edge resource-management approaches typically rely on either central...